Integrated model for digital oil field development management

Providing the extractive industry with new technologies to maintain the levels of oil and gas production planned in the strategy of the Russian Federation is the most important task. First of all, an increase in profitable reserves must be ensured; this goal can be achieved both through geological exploration and through the capabilities of “digital transformation” and the formatting of decision-making systems. A field controlled by artificial intelligence is a new reality. At the same time, the main task of AI is not to reduce jobs or completely replace humans in the field, but to provide a systematic, objective approach to decision-making based on physics and mathematics, and not on the personal experience of an individual. Currently, the main planning tool in the oil and gas industry is a geological and hydrodynamic model. Recently, thanks to an increase in design capacity, the industry has made an evolutionary leap in this direction and is transitioning to integrated modeling that combines both the underground and surface parts of the field. The future is neural network technologies, combined with classical methods into a single digital environment for optimizing all processes, from reservoir to processing and sales of products. In the new paradigm, the process of development management at different stages of field development requires a radical transformation of both the tools used for this and changes in governing documents. To meet the ever-accelerating pace of progress, timely updating of the legislative framework is required, development of regulations for integrated modeling, including all elements of research and production, from seismic exploration to field development; in addition, each stage of field development requires its own requirements for the quality and volume of initial information, in accordance with the new production paradigm.